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Microsoft Sentinel AI Security Skills for SOC Teams
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Practical AI-assisted Microsoft Sentinel skills for KQL query drafting, incident summaries, Microsoft 365 investigations, and SOC automation review.
Microsoft Sentinel AI Security Skills for SOC Teams
Microsoft Sentinel workflows can benefit from AI when KQL, incidents, entities, and Microsoft 365 evidence are kept traceable. The model should accelerate investigation, not silently change detections or automation.
Best AI-assisted skills
| Skill | What AI can help with | Human check |
|---|---|---|
| KQL drafting | Draft queries from a detection hypothesis | Validate tables, joins, time windows, and cost |
| Incident summary | Summarize entities, alerts, tactics, and evidence | Confirm with original incident data |
| Playbook review | Explain what a Logic App or automation rule will do | Require approval for actions |
| Microsoft 365 investigation | Connect identity, email, endpoint, and cloud evidence | Verify source systems and timestamps |
| Detection engineering | Suggest analytic rule improvements | Test against known true and false positives |
Prompt pattern
`Draft KQL for this investigation hypothesis. Include assumptions, required tables, expected fields, and a lower-cost version of the query.`
Controls to require
- Keep generated KQL separate from approved analytics rules.
- Require test results before changing scheduled rules or automation.
- Log AI-created summaries and queries in the case record.
- Use least privilege for any agent connected to Sentinel or Microsoft Graph.